• DocumentCode
    3646457
  • Title

    Breast segmentation in infrared images

  • Author

    Seçkin Özsaraç;Gözde Bozdaği Akar

  • Author_Institution
  • fYear
    2012
  • fDate
    4/1/2012 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Breast cancer detection with infrared imaging is a technique that is hazardous radiation free, increases the early detection chance and has a high detection probability. Asymmetry analysis is used for the diagnosis and the analysis is done using the breast segments obtained from the infrared image. In this work, a breast segmentation system based on parabolic Hough transform is presented. Besides, a filtering method using connected components is proposed to increase both the computation speed and the segmentation performance.
  • Keywords
    "Image segmentation","Breast cancer","Infrared imaging","Histograms","Conferences","USA Councils"
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference (SIU), 2012 20th
  • Print_ISBN
    978-1-4673-0055-1
  • Type

    conf

  • DOI
    10.1109/SIU.2012.6204456
  • Filename
    6204456